Tanja Munz-Körner

Personal Profile

I am a highly motivated, determined and reliable individual with experience in software development and research. Sharing interests for scientific and technical topics as well as a passion for creativity and art I am fascinated by the generation of visualizations. I am experienced in creating visual analysis systems and performing data analysis for different types of data, e.g., from machine learning, eye tracking, and software development. Additionally, I have experience in 3D programming, computer animation, and simulation.

Practical Experience

Research fellow - Visualization Research Center of the University of Stuttgart (VISUS)

08/2017 – 08/2024

My research is mostly related to the development of visual analysis solutions for sequential data (eye tracking and machine learning (explainable AI) data). Results are published in different conferences and journals (e.g., IEEE VIS, Computers & Graphics, Visual Informatics, JEMR) and I presented them at international conferences. Teaching included the supervision of student projects and assistance in courses (seminars, exercises accompanying lectures).

Conducting courses

2019 – 2021

Assistance in providing courses for Bosch employees (mission to move: software qualification) in the area of algorithms & data structures. Preparation of teaching material and preparation/execution of exercises/exams (presence and remote).

Software and pipeline developer - LUXX Studios, Stuttgart

08/2016 – 07/2017

Implementation and maintenance of different in-house tools written in Python with PySide/wxPython and C# with WPF.

Student research assistant - Visualization Research Center of the University of Stuttgart (VISUS)

09/2013 – 01/2014

Implementation of a dynamic graph visualization tool in C++ with Qt and the Qt Graphics View Framework; data processing with Python.

Education

PhD student - Visualization Research Center of the University of Stuttgart (VISUS), Cluster of Excellence Data-integrated Simulation Science (SimTech)

08/2017 – 08/2024

As PhD student, I worked on multiple publications introducing different visual analysis solutions around the interpretability of machine learning approaches (both supervised and unsupervised machine learning) and eye tracking. Most of the analyzed data was sequential or temporal. Corresponding approaches were implemented e.g., in Python, JavaScript, C++, or Java and can be accessed via GitHub. I am currently completing my dissertation with the title Visual Analysis of Sequential Data.

MSc Computer Animation and Visual Effects - Bournemouth University, UK

09/2014 – 09/2015

In a year abroad I implemented multiple simulation approaches using C++, Qt and OpenGL, and I worked on a variety of projects using software packages such as Houdini, Maya and RenderMan. The aim of this course was to get a deeper understanding of 3D data as well as simulations.

Master in Computer Science/Diplom-Informatik - University of Stuttgart

10/2007 – 03/2014

During this course I specialized in Visualization and Interactive Systems as well as Distributed Systems. My minor subject was Electrical Engineering. Most projects I dealt with at the end of the course were from the area of information visualization and were implemented using C++ and Qt (for user interfaces and graphics); the results were published as scientific papers.